| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/jamia/MortensenMJSRNM15 |
| P356 | DOI | 10.1136/AMIAJNL-2014-002901 |
| P932 | PMC publication ID | 5566196 |
| P698 | PubMed publication ID | 25342179 |
| P50 | author | Alan Rector | Q4707592 |
| Mark A. Musen | Q50286281 | ||
| Natalya Noy | Q52174287 | ||
| Timothy E Sweeney | Q57071472 | ||
| P2093 | author name string | Michael Januszyk | |
| Jonathan M Mortensen | |||
| Evan P Minty | |||
| P2860 | cites work | A terminological and ontological analysis of the NCI Thesaurus | Q38519375 |
| Handbook on Ontologies | Q56840168 | ||
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| Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey | Q24577194 | ||
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| Integrating systems biology models and biomedical ontologies | Q28740525 | ||
| BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications | Q28743122 | ||
| Bio-ontologies: current trends and future directions | Q28762988 | ||
| Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data | Q29618517 | ||
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| Getting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications | Q30501990 | ||
| Ontological analysis of gene expression data: current tools, limitations, and open problems | Q30993399 | ||
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| Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). | Q34399891 | ||
| Biomedical ontologies: a functional perspective | Q37031175 | ||
| Scalability of abstraction-network-based quality assurance to large SNOMED hierarchies | Q37508670 | ||
| P4510 | describes a project that uses | crowdsourcing | Q275969 |
| P433 | issue | 3 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | crowdsourcing | Q275969 |
| ontology | Q324254 | ||
| SNOMED CT | Q1753883 | ||
| ontology verification | Q107297598 | ||
| P304 | page(s) | 640-648 | |
| P577 | publication date | 2014-10-23 | |
| P1433 | published in | Journal of the American Medical Informatics Association | Q152037 |
| P1476 | title | Using the wisdom of the crowds to find critical errors in biomedical ontologies: a study of SNOMED CT. | |
| P478 | volume | 22 |
| Q90049502 | A Neuro-ontology for the neurological examination |
| Q28834625 | A crowdsourcing workflow for extracting chemical-induced disease relations from free text |
| Q38445570 | A unified software framework for deriving, visualizing, and exploring abstraction networks for ontologies |
| Q36284958 | Analyzing structural changes in SNOMED CT's Bacterial infectious diseases using a visual semantic delta |
| Q52643576 | Applications of crowdsourcing in health: an overview |
| Q49807928 | Assessing the Practice of Biomedical Ontology Evaluation: Gaps and Opportunities |
| Q36613548 | COHeRE: Cross-Ontology Hierarchical Relation Examination for Ontology Quality Assurance |
| Q52563068 | ComprehENotes, an Instrument to Assess Patient Reading Comprehension of Electronic Health Record Notes: Development and Validation. |
| Q49724583 | Crowd-sourced Ontology for Photoleukocoria: Identifying Common Internet Search Terms for a Potentially Important Pediatric Ophthalmic Sign |
| Q27887654 | Crowdsourcing biomedical research: leveraging communities as innovation engines |
| Q19857267 | Crowdsourcing in biomedicine: challenges and opportunities |
| Q38384894 | Efficient Results in Semantic Interoperability for Health Care. Findings from the Section on Knowledge Representation and Management. |
| Q64229345 | Improving Electronic Health Record Note Comprehension With NoteAid: Randomized Trial of Electronic Health Record Note Comprehension Interventions With Crowdsourced Workers |
| Q36813559 | Is the crowd better as an assistant or a replacement in ontology engineering? An exploration through the lens of the Gene Ontology |
| Q28607128 | Management of Dynamic Biomedical Terminologies: Current Status and Future Challenges |
| Q55339714 | Mapping of Crowdsourcing in Health: Systematic Review. |
| Q56888363 | OC-2-KB: integrating crowdsourcing into an obesity and cancer knowledge base curation system |
| Q38412272 | Quality Assurance of UMLS Semantic Type Assignments Using SNOMED CT Hierarchies |
| Q105829431 | Representing COVID-19 information in collaborative knowledge graphs: the case of Wikidata |
| Q57967783 | Testing the stability of “wisdom of crowds” judgments of search results over time and their similarity with the search engine rankings |
| Q28828690 | The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight |
| Q36943877 | The Protégé Project: A Look Back and a Look Forward |
| Q37676628 | Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases |
| Q114356267 | Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata |
| Q36971215 | Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies |
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